AI BASED QUANTUM PHYSICS OBSERVATION METHOD AND PROCESS

Authors

  • Sudheshwar Singh

Keywords:

Artificial intelligence, quantum physics, quantum observation, machine learning, quantum measurement, wavefunction analysis, quantum state reconstruction, neural networks

Abstract

But even the most advanced AI and ML algorithms are not all powerful. This is because thelatest technological tools like artificial intelligence and machine learning also have their ownlimitations. The greatest limitation to the effectiveness of these technologies reverts to their ability to collect and comprehend data

References

Carleo, G., Cirac, I., Cranmer, K., Daudet, L., Schuld, M., Tishby, N., Vogt-Maranto, L. and Zdeborová, L. (2019) 'Machine learning and the physical sciences', Reviews of Modern Physics, 91(4), pp. 045002.

Carleo, G. and Troyer, M. (2017) 'Solving the quantum many-body problem with artificial neural networks', Science, 355(6325), pp. 602-606.

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Published

2024-05-04

How to Cite

Sudheshwar Singh. (2024). AI BASED QUANTUM PHYSICS OBSERVATION METHOD AND PROCESS. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3538–3558. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4758

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.